{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/8617ff91cdb14dd98edb5176f8f3cec2\" frameborder=\"0\" width=\"1662\" height=\"1246\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1246,"width":1662,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1246,"thumbnail_width":1662,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/8617ff91cdb14dd98edb5176f8f3cec2-b5a739369c0f5ae6.gif","duration":147.99,"title":"Videos | Library | Loom - 11 December 2025","description":"In this video, I walk through the integration of our S3 Artifact Service, demonstrating how I've created a test S3.py file that interacts with functions like saving and deleting artifacts. I've set up a testing bucket and verified my AWS credentials, successfully uploading four files. After a 60-second wait, I show that one of the files, repo.txt, has been deleted, leaving us with node.txt. Please review the process and let me know if you have any questions or need further clarification on the implementation."}